Scientists say that any serious plan to address climate change should include carbon dioxide removal (CDR) technologies and policies, which makes the newly launched CDR Primer an especially vital resource, says Berkeley Lab scientist Margaret Torn, one of about three dozen scientists who contributed to this document. “Atmospheric CO2 concentrations are already 50% over historic
A team of researchers from Berkeley Lab, UC Berkeley, and UC Santa Barbara propose a framework for evaluating climate change adaptations, provide a case study of California.
New research from Lawrence Berkeley National Laboratory shows that by the years 2045-2049 future temperatures will have more of an effect on when cool-season crops, such as broccoli and lettuce, can be grown than on where, while for warm-season crops (cantaloupe, tomatoes, carrots) the impact will be greater for where they can be grown versus when.
A Q&A with Berkeley Lab scientist William Riley on the challenges in estimating methane emissions from wetlands and how nuanced computer models may help
California’s winter precipitation is expected to become 50% more variable by century’s end, based on a Berkeley Lab-led study of the impact of future greenhouse gas emissions on the Madden-Julian Oscillation (MJO), a rainfall pattern that covers a quarter of the globe. When active, the MJO influences whether precipitation occurs for 30 to 60 days,
Researchers from Berkeley Lab and 20 other institutions have found that land use and atmospheric changes are altering forest structure around the world, resulting in fewer of the mature trees that are better at storing carbon dioxide from the atmosphere. The scientists evaluated data and observations from more than 160 previous studies designed to capture
Farmers have enough worries – between bad weather, rising costs, and shifting market demands – without having to stress about the carbon footprint of their operations. But now a new set of projects by scientists at Lawrence Berkeley National Laboratory could make agriculture both more sustainable and more profitable.
One of the many unanswered scientific questions about COVID-19 is whether it is seasonal like the flu – waning in warm summer months then resurging in the fall and winter. Now scientists at Lawrence Berkeley National Laboratory are launching a project to apply machine-learning methods to a plethora of health and environmental datasets, combined with high-resolution climate models and seasonal forecasts, to tease out the answer.
Extreme weather events – such as severe drought, storms, and heat waves – have been forecast to become more commonplace and are already starting to occur. What has been less studied is the impact on energy systems and how communities can avoid costly disruptions, such as partial or total blackouts.
More than a billion people in Asia depend on seasonal monsoons for their water needs. The Asian monsoon is closely linked to a planetary-scale tropical air flow which, according to a new study by Berkeley Lab, will most likely shift geographically as the climate continues to warm, resulting in less rainfall in certain regions.